Triple
T35914423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Phoenix" portrait type |
E1038705
|
entity |
| Predicate | hasMainEmblem |
P90221
|
FINISHED |
| Object | phoenix badge |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: phoenix badge | Statement: ["Phoenix" portrait type, hasMainEmblem, phoenix badge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainEmblem Context triple: ["Phoenix" portrait type, hasMainEmblem, phoenix badge]
-
A.
containsEmblem
chosen
Indicates that one entity includes or displays the emblem of another entity as part of its design or composition.
-
B.
hasEmblemElement
Indicates that an emblem includes or features a specific element as one of its components.
-
C.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
D.
hasDistinctiveEmblem
Indicates that an entity possesses a unique symbol, logo, or emblem that serves to distinguish it from others.
-
E.
protectiveEmblemName
Indicates that a given name is the designated title or label of a protective emblem associated with an entity or context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a030c7d03308190a102689db1e8b657 |
completed | May 12, 2026, 11:18 a.m. |
| PD | Predicate disambiguation | batch_6a030a57b16c81909191270f64a77fcf |
completed | May 12, 2026, 11:09 a.m. |
Created at: May 3, 2026, 4:07 p.m.